https://epan-utbm.github.io/utbm_robocar_dataset/

EU Long-term Dataset with Multiple Sensors for Autonomous Driving
https://epan-utbm.github.io/utbm_robocar_dataset/

autonomous-driving dataset lidar-odometry long-term multisensor ros utbm

Last synced: 7 days ago
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EU Long-term Dataset with Multiple Sensors for Autonomous Driving

Host: GitHub
URL: https://epan-utbm.github.io/utbm_robocar_dataset/
Owner: epan-utbm
Created: 2018-11-15T21:51:44.000Z (over 6 years ago)
Default Branch: baselines
Last Pushed: 2023-06-01T15:36:16.000Z (almost 2 years ago)
Last Synced: 2024-02-06T02:37:52.564Z (about 1 year ago)
Topics: autonomous-driving, dataset, lidar-odometry, long-term, multisensor, ros, utbm
Language: C++
Homepage: https://epan-utbm.github.io/utbm_robocar_dataset/
Size: 104 MB
Stars: 198
Watchers: 10
Forks: 30
Open Issues: 7
Metadata Files:
- Readme: README.md

awesome-radar-perception - Website
awesome-lidar - EU Long-term Dataset - This dataset was collected with our robocar (in human driving mode of course), equipped up to eleven heterogeneous sensors, in the downtown (for long-term data) and a suburb (for roundabout data) of Montbéliard in France. The vehicle speed was limited to 50 km/h following the French traffic rules. (Datasets)
Awesome-3D-LiDAR-Datasets - EU Long-term Dataset - 32E|No|Odom|Large| (Summary Table / Update: 2023-07-12)

ecosyste.ms